Data Scientist

About the Institute of Foundation Models

We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

The Role

As a Data Scientist at the Institute of Foundation Models, your primary responsibility is to curate high quality data at the web-scale to fuel the development of next generation machine learning models. You will work on exploring, consolidating data sources and collaborate with cross-functional teams to conduct in-depth data research, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide.

Key Responsibilities

• Conduct research on the best data recipes to support various large scale machine learning models.
• Collaborate with the research teams to identify additional sources of data.
• Develop algorithms and systems to efficiently apply the recipe on large scale data.
• Manage and maintain the data catalog, help the research and engineering teams to understand available data sources.
• Develop and implement systems to support the lifecycle of machine learning models, especially on data preprocessing.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product / program updates and user feedback.
• Contribute to research papers and represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.
• Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.

Academic Qualifications

100,000 - $650,000 a year

Visa Sponsorship

This position is eligible for visa sponsorship.

Benefits Include